DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Data Mining Data Mining with Rattle Introduction Data Transform Explore A Model Building Framework Unsupervised Modelling Two Class Models Multi Class Models Regression Models Text Mining Evaluation and Deployment Moving into R Troubleshooting R for the Data Miner R Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Cluster Analysis Conditional Trees Hierarchical Clustering K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendicies Glossary Bibliography Index

Alternative Multiple Dot Plots

[width=0.7]rplot-trellis-shapes

# Suggested by Sundar Dorai-Raj
library("lattice")
data(barley)
pdf("graphics/rplot-trellis-shapes.pdf")
  new.theme <- function()
  {
    theme <- col.whitebg()
    symb <- theme$superpose.symbol
    symb$cex <- seq(0.5, 1.5, length = length(symb$cex))
    theme$superpose.symbol <- symb
    theme
  }
  trellis.par.set(theme = new.theme())
  dotplot(variety ~ yield | year, data=barley, groups=site)
dev.off()

http://rattle.togaware.com/code/rplot-trellis-shapes.R

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